Adaptive Focal Loss for Keypoint-Based Deep Learning Detectors Addressing Class Imbalance

Keypoint-based deep learning detectors have proven highly effective in object detection tasks by predicting specific keypoints to determine object classification and location. Examples include CornerNet, CenterNet, ExtremeNet, RetinaNet, FCOS, and ObjectBox. Despite their strengths, these methods ar...

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Κύριοι συγγραφείς:	Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2025-01-01
Σειρά:	IEEE Access
Θέματα:	Deep learning algorithm object detection keypoint-based deep learning detector class imbalance sampling method
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/10872927/
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